Data-Driven Gene Regulatory Network Inference
Project description
GReNaDIne: Gene Regulatory Network Data-driven Inference
This Python 3.7 package allows to infer Gene Regulatory Networks through several Data-driven methods. Pre-processing and evaluation methods are also included.
Installation:
pip install GReNaDIne
Tutorials:
Check the jupyter notebook tutorials located in the tutorial folder
Infer_dream5_E_coli_GRN_using_GENIE3.ipynb
to infer GRNs using the GENIE3 method (random forest regression)Infer_dream5_E_coli_GRN_using_SVMs.ipynb
to infer GRNs using the SVM method (SVM classification)
Authors:
For bug reports and feedback do not hesitate to contact the authors
Maintainer:
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